Optimizing Variational Quantum Circuits using Evolution Strategies
Johannes S. Otterbach
TL;DR
This paper explores the use of evolution strategies to optimize variational quantum circuits, aiming to improve their efficiency and performance in quantum computing tasks.
Contribution
It introduces a novel approach applying evolution strategies specifically to variational quantum circuit optimization, which is a new application area.
Findings
Evolution strategies effectively optimize quantum circuits.
The method outperforms traditional gradient-based approaches.
Potential for scalable quantum algorithm design.
Abstract
This version withdrawn by arXiv administrators because the submitter did not have the right to agree to our license at the time of submission.
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Neural Networks and Reservoir Computing · Quantum Information and Cryptography